Thresholding-based Classification Error Estimate (TCEE)

A measure of separability of features between two classes and Generation of synthetic feature vectors
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Aggiornato 15 dic 2024

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Source codes of the Thresholding-based Classification Error Estimate (TCEE) useful to measure the separability of features from two classes and an algorithm for generating synthetic feature vectors for testing the feature separability measures are provided here.
If you use this source code please cite,
C.A. Chetty, V.R. Simi, J. Joseph, and V. Venugopal, A Nonparametric Feature Separability Measure and an Algorithm for Simulating Synthetic Feature Vectors, Proc. 2024 the 10th International Conference on Information Management (ICIM2024), University of Cambridge, UK, March 8-10, 2024, published in Communications in Computer and Information Science, vol 2102. Springer, Cham. https://doi.org/10.1007/978-3-031-64359-0_30.

Cita come

Dr. Justin Joseph IISc Bangalore (2026). Thresholding-based Classification Error Estimate (TCEE) (https://it.mathworks.com/matlabcentral/fileexchange/177459-thresholding-based-classification-error-estimate-tcee), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2024b
Compatibile con R2023a fino a R2024b
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Versione Pubblicato Note della release
1.0.0